Singapore-based AI cloud infrastructure startup Nava has closed a $22 million Series A funding round to expand GPU compute capacity across the Asia-Pacific region. The round was led by Prosus Ventures, with participation from existing investor Tanglin Venture Partners and new backer Jungle Ventures.
The funding will support Nava’s expansion of data centre infrastructure in Singapore and India, where the company operates GPU clusters optimised for training and inference workloads. Nava targets enterprises seeking alternatives to hyperscale cloud providers for AI compute, positioning itself as a regional specialist in markets where capacity constraints have driven up costs and extended provisioning times.
Founded in 2023, Nava addresses a supply-demand imbalance in APAC’s AI infrastructure market. Whilst global cloud providers have concentrated GPU resources in North American and European facilities, Asian enterprises face longer lead times and higher costs for accessing cutting-edge compute. The company’s regional focus allows it to negotiate directly with hardware suppliers and optimise for local regulatory requirements, particularly around data sovereignty.
The Series A follows an undisclosed seed round raised in early 2024. Nava has not disclosed revenue figures or customer numbers, though the company states it serves clients across financial services, healthcare, and technology sectors. The startup competes with established hyperscalers including Amazon Web Services, Microsoft Azure, and Google Cloud, as well as regional players such as Alibaba Cloud and emerging GPU-focused providers.
The business impact centres on three constituencies. Enterprise customers in APAC gain access to locally provisioned GPU infrastructure, potentially reducing latency and addressing data residency requirements that complicate cross-border cloud usage. For investors, Nava represents exposure to the infrastructure layer of AI adoption in high-growth Asian markets, where AI spending is projected to grow faster than in mature Western economies. Incumbent cloud providers face incremental competition in a region where they have historically dominated enterprise infrastructure spending.
The funding arrives as GPU availability remains constrained globally. Nvidia’s H100 and H200 chips continue to face supply limitations, whilst newer Blackwell architecture products are only beginning volume shipments. Nava’s ability to secure hardware allocations will determine whether it can capitalise on regional demand or face the same bottlenecks affecting larger competitors.
The company’s regional strategy reflects broader patterns in cloud infrastructure. Whilst hyperscalers benefit from global scale, specialised providers can compete on regulatory compliance, customer proximity, and pricing flexibility. Data sovereignty regulations in markets including India, Indonesia, and Vietnam create structural advantages for providers with in-country infrastructure. However, capital intensity remains high—data centre buildouts require sustained funding, and GPU depreciation cycles compress return timelines.
Nava has not disclosed specific capacity metrics, such as GPU counts or petaflops of compute available. The company also has not detailed pricing models, though regional cloud providers typically compete on cost relative to hyperscalers’ on-demand rates. The startup’s ability to offer reserved capacity or long-term contracts may prove crucial for enterprises planning multi-year AI initiatives.
Key developments to monitor include Nava’s hardware procurement strategy as Nvidia’s supply chain evolves, expansion into additional APAC markets beyond Singapore and India, and potential partnerships with system integrators or software vendors. The company’s customer acquisition trajectory will indicate whether regional specialisation provides sufficient differentiation against hyperscalers’ expanding footprints. Additionally, regulatory developments around AI governance and cross-border data flows will shape demand for locally provisioned infrastructure.
The Series A positions Nava to scale operations during a critical window for APAC AI adoption, though execution risks remain substantial in capital-intensive infrastructure markets where incumbents hold significant advantages.
